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A Twenty-years' Experience in Pituitary Disease. (TYEPDD)

I

Institute of Hospitalization and Scientific Care (IRCCS)

Status

Enrolling

Conditions

Pituitary Cancer
Pituitary Adenoma
Pituitary Disease

Treatments

Other: Frequency of disease recurrence

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

Pituitary tumors represent a heterogeneous group of neoplasms by histotype. The pituitary adenomas are the most frequent heteroformation, among those affecting the pituitary gland, followed by meningiomas, craniopharyngiomas, germosomes and tumours secondary, such as metastases and lymphomas. Since these conditions are considered rare, the data epidemiology and prognosis to predict the natural history of these diseases can not be considered conclusive. Pituitary adenomas are a useful model for epidemiology in the study of pathology pituitary. Over the past 20 years, several attempts have been made to identify unique prognostic factors, which predict the outcome of these pathologies, but without To arrive at a definitive classification. The purpose of this study aims to collect clinical, biochemical, morphological and pathological data on the retrospective and prospective cohort of over 1600 patients undergoing neurosurgical removal of pituitary tumors in the last 20 years, to develop a prognostic classification.

Enrollment

1,600 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients underwent surgery for pituitary tumors;
  • pathology diagnosis of pituitary tumors;
  • patients older then 18 years at diagnosis of pituitary tumors;
  • 2 years follow-up;

Exclusion criteria

  • age lower then 18 years
  • follow-up shorter than 2 years

Trial design

1,600 participants in 1 patient group

Patients with pituitary tumors
Description:
Patients with pituitary tumors, underwent surgical resection
Treatment:
Other: Frequency of disease recurrence

Trial contacts and locations

1

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Central trial contact

Francesco Doglietto, Prof; Sabrina Chiloiro, MD

Data sourced from clinicaltrials.gov

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